Smart Channel Sounder for 5G IoT: From Wireless Big Data to Active Communication
Open Access
- 29 November 2016
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 4, 8888-8899
- https://doi.org/10.1109/access.2016.2628820
Abstract
Internet-of-Things (IoT) will connect billions of smart devices and generate inundant data through prominent solutions, such as machine type communication. The Third Generation Partnership Project has launched the corresponding standards for multiple heterogeneous wireless smart devices in the long term evolution (LTE)/LTE-advanced. In the forthcoming years, the valuable information hidden in the deluge of data will be extracted and utilized in every field to improve quality and efficiency. However, the bottleneck of realizing this magnificent vista of future intelligent lives lies in how to satisfy the practical demands to transmit huge data volume through efficient wireless communication in diverse scenarios. Herein, multi-scenario wireless communication triggers critical problems in wireless channel modeling and soundings for 5G IoT, which by far, are understudied. In this paper, we introduce a general wireless channel model and its multiple up-to-date corresponding channel sounding methods for future 5G IoT green wireless communication. Through adopting the perspective of wireless big data excavation, the smart channel sounder transforms the traditional passive wireless communication scheme into an active expectation-guaranteed wireless communication scheme, which helps achieve efficient and green communication. To demonstrate the validity and efficiency of this smart sounder scheme, we make a compatible prototype testified in multiple scenarios. The multiple real-scenario experiments demonstrate that the smart sounder can function effectively, especially in those scenarios where traditional channel state information is not available or imperfect.Keywords
Funding Information
- State Key Development Program of Basic Research of China (2012CB316100(2))
- European Union Project CoNHealth (294923)
This publication has 30 references indexed in Scilit:
- Hardware impairments impact on fixed‐gain AF relaying performance in Nakagami‐ m fadingElectronics Letters, 2016
- Iterative companding transform and filtering for reducing PAPR of OFDM signalIEEE Transactions on Consumer Electronics, 2015
- Variable step-size MLMS algorithm for digital predistortion in wideband OFDM systemsIEEE Transactions on Consumer Electronics, 2015
- Novel ML estimation of m parameter of the noisy Nakagami-m channelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Position-Based Modeling for Wireless Channel on High-Speed Railway under a Viaduct at 2.35 GHzIEEE Journal on Selected Areas in Communications, 2012
- Hardware Implementation of Rayleigh and Ricean Variate GeneratorsIEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2010
- Estimators of the Nakagami-m parameter and performance analysisIEEE Transactions on Wireless Communications, 2005
- Interference cancellation for OFDM systems in presence of overlapped narrow band transmission systemIEEE Transactions on Consumer Electronics, 2004
- Estimation of Ricean and Nakagami distribution parameters using noisy samplesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Maximum-likelihood based estimation of the Nakagami m parameterIEEE Communications Letters, 2001